The Study of Model-based Face Tracking - Active Shape Model and Its Extension

碩士 === 國立交通大學 === 應用數學系所 === 100 === Image correspondence is a fundamental problem which discusses the relation of features between images of the same scene. Various approaches have been proposed to achieve this goal. In this thesis, we discuss the method of Active Shape Model, a straight forward ap...

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Main Authors: Lien, Ting-hsuan, 連挺軒
Other Authors: Lin, Song-sun
Format: Others
Language:en_US
Published: 2012
Online Access:http://ndltd.ncl.edu.tw/handle/65331920396791463093
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spelling ndltd-TW-100NCTU55070802016-03-28T04:20:37Z http://ndltd.ncl.edu.tw/handle/65331920396791463093 The Study of Model-based Face Tracking - Active Shape Model and Its Extension 以模型基礎之下臉部追蹤的方法研究-主動外型模式 Lien, Ting-hsuan 連挺軒 碩士 國立交通大學 應用數學系所 100 Image correspondence is a fundamental problem which discusses the relation of features between images of the same scene. Various approaches have been proposed to achieve this goal. In this thesis, we discuss the method of Active Shape Model, a straight forward approach for tracking the correspondences between images. The active shape model has been shown to be a practical and robust solution for matching features in 2D images. However, applying this technique to the matching of features in 3D point clouds still fail to produce convincible results. In this thesis, we will review the active shape model by splitting into the preprocessing and run-time stages. discuss the variation in each step, and its extension to the 3D point cloud. Lin, Song-sun 林松山 2012 學位論文 ; thesis 35 en_US
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description 碩士 === 國立交通大學 === 應用數學系所 === 100 === Image correspondence is a fundamental problem which discusses the relation of features between images of the same scene. Various approaches have been proposed to achieve this goal. In this thesis, we discuss the method of Active Shape Model, a straight forward approach for tracking the correspondences between images. The active shape model has been shown to be a practical and robust solution for matching features in 2D images. However, applying this technique to the matching of features in 3D point clouds still fail to produce convincible results. In this thesis, we will review the active shape model by splitting into the preprocessing and run-time stages. discuss the variation in each step, and its extension to the 3D point cloud.
author2 Lin, Song-sun
author_facet Lin, Song-sun
Lien, Ting-hsuan
連挺軒
author Lien, Ting-hsuan
連挺軒
spellingShingle Lien, Ting-hsuan
連挺軒
The Study of Model-based Face Tracking - Active Shape Model and Its Extension
author_sort Lien, Ting-hsuan
title The Study of Model-based Face Tracking - Active Shape Model and Its Extension
title_short The Study of Model-based Face Tracking - Active Shape Model and Its Extension
title_full The Study of Model-based Face Tracking - Active Shape Model and Its Extension
title_fullStr The Study of Model-based Face Tracking - Active Shape Model and Its Extension
title_full_unstemmed The Study of Model-based Face Tracking - Active Shape Model and Its Extension
title_sort study of model-based face tracking - active shape model and its extension
publishDate 2012
url http://ndltd.ncl.edu.tw/handle/65331920396791463093
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